Senior Lecturer, Department of Computing, City University of London, UK
Tillman Weyde is a Senior Lecturer at the Department of Computing at the City University of London. He currently works on Semantic Web representations for music, methods for automatic music analysis, audio-based similarity and recommendation and general applications of audio processing and machine learning in industry and science.
Tillman Weyde is a Senior Lecturer at the Department of Computing. Before that he was a researcher and coordinator of the MUSITECH project at the Research Department of Music and Media Technology at the University of Osnabrück. He holds degrees in Computer Science, Music, and Mathematics and obtained his PhD in Systematic Musicology on the topic of automatic analysis of rhythms based on knowledge and machine learning. He is an associated member of the Institute of Cognitive Science and the Research Department of Music and Media Technology of the University of Osnabrück. He is co-author of the educational software “Computer Courses in Music Ear Training” published by Schott Music, which received the Comenius Medal for Exemplary Educational Media in 2000 and co-editor of the Osnabrück Series on Music and Computation. Tillman Weyde consulted with the NEUMES project at Harvard University and he is a member of the MPEG Ad-Hoc-Group on Symbolic Music Representation (SMR), working on the integration of SMR into MPEG-4. He was the principal investigator at City University in the EU music e-learning project i-Maestro. He currently works on Semantic Web representations for music, methods for automatic music analysis, audio-based similarity and recommendation and general applications of audio processing and machine learning in industry and science.
Selected publications:
- Jansson, A., Bittner, R., Ewert, S., Weyde, T. (2019): Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures. EUSIPCO, A Conruna, Spain.
- Velarde, G., Chacón, C., Meredith, D., Weyde, T., Grachten, M. (2018): Convolution-based classification of audio and symbolic representations of music. Journal of New Music Re- search 47(3), pp 191–205.